Accurate Numerical Implementation of the Continuous-Discrete Extended Kalman Filter

From MaRDI portal
Publication:2983315

DOI10.1109/TAC.2013.2272136zbMath1360.93700OpenAlexW2096897575MaRDI QIDQ2983315

No author found.

Publication date: 16 May 2017

Published in: IEEE Transactions on Automatic Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tac.2013.2272136




Related Items (29)

Importance sampling for Kolmogorov backward equationsStability analysis of extended, cubature and unscented Kalman filters for estimating stiff continuous-discrete stochastic systemsContinuous-discrete unscented Kalman filtering framework by MATLAB ODE solvers and square-root methodsTwo filtering methods of forecasting linear and nonlinear dynamics of intensive longitudinal dataAccurate cubature and extended Kalman filtering methods for estimating continuous-time nonlinear stochastic systems with discrete measurementsThe continuous-discrete extended Kalman filter revisitedHigh-order accurate continuous-discrete extended Kalman filter for chemical engineeringNIRK-based accurate continuous-discrete extended Kalman filters for estimating continuous-time stochastic target tracking modelsNew third- and fourth-order singly diagonally implicit two-step peer triples with local and global error controls for solving stiff ordinary differential equationsVariable-stepsize doubly quasi-consistent singly diagonally implicit two-step peer pairs for solving stiff ordinary differential equationsSquare-root algorithms for maximum correntropy estimation of linear discrete-time systems in presence of non-Gaussian noiseOn derivative-free extended Kalman filtering and its Matlab-oriented square-root implementations for state estimation in continuous-discrete nonlinear stochastic systemsUniversal MATLAB‐based square‐root solutions in the family of continuous‐discrete Gaussian filters for state estimation in nonlinear stochastic dynamic systemsAccuracy analysis of numerical simulations and noisy data assimilations in two-dimensional stochastic neural fields with infinite signal transmission speedEstimation of nonlinear mixed‐effects continuous‐time models using the continuous‐discrete extended Kalman filterSVD-based factored-form cubature Kalman filtering for continuous-time stochastic systems with discrete measurementsNested implicit Runge-Kutta pairs of Gauss and Lobatto types with local and global error controls for stiff ordinary differential equationsAccurate state estimation of stiff continuous-time stochastic models in chemical and other engineeringEmbedded symmetric nested implicit Runge-Kutta methods of Gauss and Lobatto types for solving stiff ordinary differential equations and Hamiltonian systemsPractical implementation of extended Kalman filtering in chemical systems with sparse measurementsSquare-root filtering via covariance SVD factors in the accurate continuous-discrete extended-cubature Kalman filterNIRK-based Cholesky-factorized square-root accurate continuous-discrete unscented Kalman filters for state estimation in nonlinear continuous-time stochastic models with discrete measurementsRepresenting sudden shifts in intensive dyadic interaction data using differential equation models with regime switchingMATLAB-based general approach for square-root extended-unscented and fifth-degree cubature Kalman filtering methodsA state predictor for continuous-time stochastic systemsFitting nonlinear ordinary differential equation models with random effects and unknown initial conditions using the stochastic approximation expectation-maximization (SAEM) algorithmEstimating the State in Stiff Continuous-Time Stochastic Systems within Extended Kalman FilteringA Singly Diagonally Implicit Two-Step Peer Triple with Global Error Control for Stiff Ordinary Differential EquationsEfficient extended cubature Kalman filtering for nonlinear target tracking




This page was built for publication: Accurate Numerical Implementation of the Continuous-Discrete Extended Kalman Filter